We consider 3 related cryptographic primitives, private information retrieval (PIR) protocols, conditional disclosure of secrets (CDS) protocols, and secret-sharing schemes; these primitives have many applications in cryptography. We study these primitives requiring information-theoretic security. The complexity of the three primitives has been dramatically improved in the last few years and they are closely related, i.e., the 2-server PIR protocol of Dvir and Gopi (J. ACM 2016) was transformed to construct the CDS protocols of Liu, Vaikuntanathan, and Wee (CRYPTO 2017, Eurocrypt 2018) and these CDS protocols are the main ingredient in the construction of the best-known secret-sharing schemes. To date, the message size required in PIR and CDS protocols and the share size required in secret-sharing schemes are not understood and there are big gaps between their upper bounds and lower bounds. The goal of this paper is to try to better understand the upper bounds by simplifying current constructions and supplying tools for improving their complexity. We obtain the following results:

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Simplified PIR and CDS Protocols and Improved Linear Secret-Sharing Schemes

  • Bar Alon,
  • Amos Beimel,
  • Or Lasri

摘要

We consider 3 related cryptographic primitives, private information retrieval (PIR) protocols, conditional disclosure of secrets (CDS) protocols, and secret-sharing schemes; these primitives have many applications in cryptography. We study these primitives requiring information-theoretic security. The complexity of the three primitives has been dramatically improved in the last few years and they are closely related, i.e., the 2-server PIR protocol of Dvir and Gopi (J. ACM 2016) was transformed to construct the CDS protocols of Liu, Vaikuntanathan, and Wee (CRYPTO 2017, Eurocrypt 2018) and these CDS protocols are the main ingredient in the construction of the best-known secret-sharing schemes. To date, the message size required in PIR and CDS protocols and the share size required in secret-sharing schemes are not understood and there are big gaps between their upper bounds and lower bounds. The goal of this paper is to try to better understand the upper bounds by simplifying current constructions and supplying tools for improving their complexity. We obtain the following results: